
Event‐triggered distributed H ∞ control of physically interconnected mobile Euler–Lagrange systems with slipping, skidding and dead zone
Author(s) -
Tan Luy Nguyen
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2019.0409
Subject(s) - slipping , control theory (sociology) , euler's formula , event (particle physics) , computer science , control (management) , mathematics , physics , mathematical analysis , geometry , artificial intelligence , quantum mechanics
This study addresses an event‐triggered distributedH ∞control method by extending traditional zero‐sum differential games for physically interconnected non‐holonomic mobile mechanical multi‐agent systems with external disturbance and slipping, skidding and dead‐zone disturbances. Initially, a problem of physically interconnected kinematic and dynamic control is transformed into an equivalent problem of event‐triggered distributedH ∞control. Subsequently, the traditional two‐player zero‐sum differential game is extended to a three‐player zero‐sum differential game, where a new player is included to approximate the worst dead‐zone disturbance. To find player policies, an event‐triggering condition and an event‐triggered control law are proposed via neural networks (NNs). Although an NN weight‐tuning law is designed on the basis of adaptive dynamic programming techniques, it can relax identification procedures for unknown drift dynamics and persistent excitation conditions. It also guarantees that the closed system is stable and the cost function converges to the boundedL 2 ‐gain optimal value, while the Zeno behaviour is excluded. Finally, the effectiveness of the proposed method is verified by an application to a dead‐zone torque multi‐mobile robot system through numerical simulations.